BJJ Datasets
Comprehensive datasets for BJJ research, analytics, and data science projects
Access curated datasets containing tournament results, fighter statistics, technique analysis, and motion capture data. Perfect for researchers, analysts, and developers building BJJ applications.
Created by Experts
Researchers, data scientists, and BJJ enthusiasts
Available Online
Kaggle, universities, and data science platforms
Growing Fast
Expanding availability as BJJ popularity increases
What is a BJJ Dataset?
Structured collections of Brazilian Jiu-Jitsu data that power research, analytics, and machine learning applications
BJJ datasets are comprehensive data collections that include tournament results, fighter statistics, technique performance metrics, and sometimes even motion capture data from actual matches.
Who Creates Them
Researchers, data scientists, tournament organizers, and passionate BJJ practitioners collect and organize data from competitions, training sessions, and academic studies.
Where to Find Them
Available on platforms like Kaggle, university research repositories, and specialized data science communities focused on martial arts analytics.
Growing Ecosystem
The availability and quality of BJJ datasets continues to expand as the sport's popularity grows and more researchers enter the field.
BJJ Data for Data Science
As the BJJ data science community grows, so does the availability of high-quality datasets for research and analysis. Our curated collection features comprehensive tournament data from major events like ADCC, academic research from universities like Ljubljana, and specialized datasets from institutions like Carnegie Mellon. Particularly noteworthy are the ADCC Matches and Fighter Stats datasets, which provide detailed competition data perfect for tournament analysis and predictive modeling.
Large collection of grappling techniques with detailed classifications and performance metrics.
Historical ADCC match data including competitor performance, outcomes, and tournament statistics.
Comprehensive fighter statistics including win/loss records, submission data, and performance metrics.
Academic research dataset containing BJJ movement patterns and technique analysis from university studies.
Motion capture data of BJJ techniques focusing on disorientation and spatial awareness in grappling.
Computer vision dataset with labeled BJJ techniques for machine learning model training.
Extended collection of BJJ technique images and videos for computer vision research and model development.
Real-time ELO scoring system tracking BJJ competitor rankings and performance metrics across tournaments.